code: def test_make_regressor_2():
      """Test the generated regressor."""
      condition = ([1, 20, 36.5], [0, 0, 0], [1, 1, 1])
      frame_times = np.linspace(0, 69, 70)
      hrf_model = "spm"
  
      reg, reg_names = compute_regressor(
          condition, hrf_model, frame_times
      )
  
      assert_almost_equal(reg.sum() * 50, 3, 1)
      assert reg_names[0] == "cond"
  
imports: import warnings
  import numpy
  import pytest
  from numpy.testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal
  from nilearn.glm.first_level.hemodynamic_models import _calculate_tr, _hrf_kernel, _regressor_names, _resample_regressor, _sample_condition, compute_regressor, glover_dispersion_derivative, glover_hrf, glover_time_derivative, orthogonalize, spm_dispersion_derivative, spm_hrf, spm_time_derivative
label_desc: Use image node_id 20 for calling a global function with example usage: test_make_regressor_2() without return types